发明名称 |
SUPPORT VECTOR MACHINE LEARNING SYSTEM AND SUPPORT VECTOR MACHINE LEARNING METHOD |
摘要 |
[Problem] To make it possible to reliably conceal a label of a supervisory signal when support vector machine learning is performed.;[Solution] An analysis executing apparatus that performs support vector machine learning, stores a set of learning data including a feature vector and a label encrypted using an additive homomorphic encryption scheme, which are subjected to the support vector machine learning, and performs update processing with a gradient method on the encrypted learning data using an additive homomorphic addition algorithm. |
申请公布号 |
US2017039487(A1) |
申请公布日期 |
2017.02.09 |
申请号 |
US201415303092 |
申请日期 |
2014.04.11 |
申请人 |
HITACHI, LTD. |
发明人 |
Naganuma Ken;Serita Susumu;Sato Yoshinori;Sato Hisayoshi;Yoshino Masayuki |
分类号 |
G06N99/00;G06F21/60 |
主分类号 |
G06N99/00 |
代理机构 |
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代理人 |
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主权项 |
1. A support vector machine learning system that performs support vector machine learning, comprising:
a learning data management apparatus; and a learning apparatus coupled to the learning data management apparatus, wherein the learning data management apparatus comprises:
a learning data storage part that stores a set of learning data including a label and a feature vector, the set of learning data being subjected to the support vector machine learning;an encryption processing part that encrypts the label of the learning data using an additive homomorphic encryption scheme; anda learning data transmitting part that transmits encrypted learning data including the encrypted label and the feature vector to the learning apparatus, and whereinthe learning apparatus comprises:
a learning data receiving part that receives the encrypted learning data; andan update processing part that performs update processing with a gradient method on the encrypted learning data using an additive homomorphic addition algorithm. |
地址 |
Tokyo JP |